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Gramian Consulting
Gramian Consulting
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Gramian Consulting is a remote-first consulting firm focused on engineering, data, and AI talent. It helps organizations expand technical capacity through talent augmentation, recruiting, dedicated teams, and contractor management, while providing services such as LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure. The firm also supports individual career development through mentorship and education programs covering career readiness, interview preparation, and international market orientation. Its work combines hands-on engineering and recruiting experience to help clients build technical teams and apply AI to business needs.
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Senior Technical Program Operations Lead – AI Engineering

Lead large-scale AI engineering data programs for Gramian Consulting, overseeing delivery, quality, contributors, workflows, and cost. The role covers coding datasets, evaluations, and operational systems for distributed software-engineering teams.

IDIndonesiaINIndiaKEKenyaNGNigeriaPKPakistanTRTürkiyeRemoteContractSeniorEnglish RequiredAI EngineerMachine Learning Engineer
GoJavaPythonSQLTypeScript

Description

  • Lead end-to-end program delivery across scope, timelines, quality, throughput, contributor performance, and cost.
  • Design and oversee workflows for coding datasets, agentic trajectories, reinforcement-learning environments, benchmarks, and rubric-based evaluations.
  • Diagnose operational bottlenecks and improve execution through clearer instructions, sequencing, incentives, review processes, and capacity planning.
  • Define contributor profiles and work with talent teams to source, evaluate, onboard, train, and scale distributed software engineers.
  • Establish team-lead and reviewer structures for programs involving 100–1,000+ contributors.
  • Manage quality-control systems and analyze datasets for trends, recurring errors, and underlying causes.
  • Serve as the main customer contact for AI labs, reporting progress, risks, quality patterns, and recovery plans.
  • Turn research goals into actionable task specifications and challenge assumptions when requirements may fail to generate the intended evaluation signal.
  • Apply Python, SQL, or comparable tools to automate quality sampling, defect analysis, throughput reporting, and operational reviews.
  • Turn effective workflows into reusable playbooks, quality controls, evaluation resources, and contributor-management systems.
  • Document operational insights and coach other program leads.

Requirements

  • Demonstrated success leading complex, multi-stakeholder programs in software engineering, technical program management, consulting, finance, startups, operations, or a related setting.
  • Strong analytical and problem-solving ability, including identifying bottlenecks, defining useful metrics, and improving production performance.
  • Experience overseeing distributed teams, contributor networks, marketplaces, or large-scale technical operations.
  • Strong client-facing communication skills, with experience setting expectations, explaining risks, and developing lasting customer relationships.
  • Ability to read and review code, understand test suites, and independently evaluate technical work.
  • Working proficiency in at least one programming language, such as Python, TypeScript, Java, or Go.
  • Experience using data and operational metrics to track quality, throughput, performance, and delivery.
  • Ability to perform effectively as research requirements and priorities change rapidly.

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